The discovery or re-construction of scientific explanations and understanding based on experience is a complex process, for which school learning often uses shortcuts. Based on the example of analyzing real seismic measurements, we propose a computer-facilitated collaborative learning scenario, which meets many of the requirements for authentic learning. The implementation of the learning envir...

Grid technologies promise to improve the way we think about e-learning allowing wide-scale learning resources sharing in heterogeneous and geographically distributed environments consenting, in this way, the implementation of distributed learning spaces where different organizations and individuals are able to cooperate in pursuing similar and complementary learning and training objectives. But...

Abstract Risk measures such as expected shortfall (ES) and value-at-risk (VaR) have been prominent in banking regulation financial risk management. Motivated by practical considerations the assessment management of risks, including tractability, scenario relevance robustness, we consider theoretical properties scenario-based evaluation. We establish axiomatic characterisations that are comonoto...

The development of scientific inquiry skills is a core element of the draft national science curriculum for Australian secondary school students. Yet, despite the prominence of inquiry learning in the curriculum, the use of integrated classroom technology to facilitate inquiry learning is difficult for teachers to implement successfully without support in Australian secondary schools. The purpo...

Grid technologies promise to improve the way we think about e-learning allowing wide-scale learning resources sharing in heterogeneous and geographically distributed environments consenting, in this way, the implementation of distributed learning spaces where different organizations and individuals are able to cooperate in pursuing similar and complementary learning and training objectives. But...

In this paper we investigate the use of reinforcement learning to address the multiagent coalition formation problem in dynamic, uncertain, real-time, and noisy environments. To adapt to the complex environmental factors, we equip each agent with the case-based reinforcement learning ability which is the integration of case-based reasoning and reinforcement learning. The agent can use case-base...

introduction: in traditional medical education systems much interest is placed on the cramming of basic and clinical facts without considering their applicability in the future professional career. the aim of this study is to evaluate a novice medical training method (problem-based learning) as compared to the contemporary teacher-based medical education or traditional methods. methods: selecti...